节点文献
基于改进粒子群优化算法的新安江模型参数优选
Parameters Calibration of Xin′anjiang Model based on Improved Particle Swarm Optimization
【摘要】 新安江模型是一种实用有效的水文模型,在洪水预报以及水资源评估和管理中得到了广泛的应用。为此,结合新安江模型参数的特点,提出了基于改进粒子群优化算法的新安江模型参数优选方法,并将该模型应用到日径流预报中。实例表明,该方法能快速地完成参数寻优,并能较好地寻找出参数的全局最优解。
【Abstract】 Xin′anjiang model,which is widely applied to flood forecasting and water resources evaluation and management,is a practical and effective hydrological model.In combination with the parameter characteristics of Xin′anjiang model,a parameter calibration method of Xin′anjiang model which is based on improved particle swarm optimization(PSO) is proposed in this paper.The application of this proposed model to predict the daily runoff predicting showed that it could accomplish parameter calibration rapidly and find out the optimal solutions of parameters accurately.
【关键词】 参数优选;
新安江模型;
粒子群优化算法;
径流预测;
【Key words】 parameter calibration; Xin′anjiang model; particle swarm optimization; runoff predicting;
【Key words】 parameter calibration; Xin′anjiang model; particle swarm optimization; runoff predicting;
【基金】 国家自然科学基金项目(50579022);国家自然科学基金重点项目(50539140)
- 【文献出处】 水力发电 ,Water Power , 编辑部邮箱 ,2007年07期
- 【分类号】P334.92
- 【被引频次】15
- 【下载频次】430